How to Install and Uninstall python3-fuzzywuzzy Package on Kali Linux
Last updated: November 25,2024
1. Install "python3-fuzzywuzzy" package
This is a short guide on how to install python3-fuzzywuzzy on Kali Linux
$
sudo apt update
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$
sudo apt install
python3-fuzzywuzzy
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2. Uninstall "python3-fuzzywuzzy" package
This guide let you learn how to uninstall python3-fuzzywuzzy on Kali Linux:
$
sudo apt remove
python3-fuzzywuzzy
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-fuzzywuzzy package on Kali Linux
Package: python3-fuzzywuzzy
Source: fuzzywuzzy
Version: 0.18.0-4
Installed-Size: 64
Maintainer: Debian Python Team
Architecture: all
Depends: python3-levenshtein, python3:any
Size: 20048
SHA256: dddc6694f53d48179ce2b3a181cd25616357508d25b7102222334731734e7861
SHA1: b6498c5d8e6f48ed7854253e4779934a03a90477
MD5sum: 058104a505d5b80f70fcb20b6e2de29c
Description: Python 3 module for fuzzy string matching
Various methods for fuzzy matching of strings in Python, including:
.
- String similarity: Gives a measure of string similarity between 0 and 100.
- Partial string similarity: Inconsistent substrings are a common problem
when string matching. To get around it, use a "best partial" heuristic
when two strings are of noticeably different lengths.
- Token sort: This approach involves tokenizing the string in question,
sorting the tokens alphabetically, and then joining them back into a
string.
- Token set: A slightly more flexible approach. Tokenize both strings, but
instead of immediately sorting and comparing, split the tokens into two
groups: intersection and remainder.
Description-md5:
Homepage: https://github.com/seatgeek/fuzzywuzzy
Section: python
Priority: optional
Filename: pool/main/f/fuzzywuzzy/python3-fuzzywuzzy_0.18.0-4_all.deb
Source: fuzzywuzzy
Version: 0.18.0-4
Installed-Size: 64
Maintainer: Debian Python Team
Architecture: all
Depends: python3-levenshtein, python3:any
Size: 20048
SHA256: dddc6694f53d48179ce2b3a181cd25616357508d25b7102222334731734e7861
SHA1: b6498c5d8e6f48ed7854253e4779934a03a90477
MD5sum: 058104a505d5b80f70fcb20b6e2de29c
Description: Python 3 module for fuzzy string matching
Various methods for fuzzy matching of strings in Python, including:
.
- String similarity: Gives a measure of string similarity between 0 and 100.
- Partial string similarity: Inconsistent substrings are a common problem
when string matching. To get around it, use a "best partial" heuristic
when two strings are of noticeably different lengths.
- Token sort: This approach involves tokenizing the string in question,
sorting the tokens alphabetically, and then joining them back into a
string.
- Token set: A slightly more flexible approach. Tokenize both strings, but
instead of immediately sorting and comparing, split the tokens into two
groups: intersection and remainder.
Description-md5:
Homepage: https://github.com/seatgeek/fuzzywuzzy
Section: python
Priority: optional
Filename: pool/main/f/fuzzywuzzy/python3-fuzzywuzzy_0.18.0-4_all.deb